公开(公告)号：US20230229913A1

公开(公告)日：2023-07-20

申请号：US18125327

申请日：2023-03-23

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Weijia ZHANG ,  Le ZHANG ,  Hao LIU ,  Jindong HAN ,  Chuan QIN ,  Hengshu ZHU ,  Hui XIONG

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A method and apparatus for training an information adjustment model of a charging station, an electronic device, and a storage medium are provided. An implementation comprises: acquiring a battery charging request, and determining environment state information corresponding to each charging station in a charging station set; determining, through an initial policy network, target operational information of each charging station in the charging station set for the battery charging request, according to the environment state information; determining, through an initial value network, a cumulative reward expectation corresponding to the battery charging request according to the environment state information and the target operational information; training the initial policy network and the initial value network by using a deep deterministic policy gradient algorithm; and determining the trained policy network as an information adjustment model corresponding to each charging station.

公开(公告)号：US20230004715A1

公开(公告)日：2023-01-05

申请号：US17939271

申请日：2022-09-07

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Peng WANG ,  Hengshu ZHU ,  Zheng DONG ,  Kaichun YAO ,  Chuan QIN

IPC: G06F40/279 ,  G06F40/253 ,  G06F16/33

Abstract: A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

公开(公告)号：US20230230038A1

公开(公告)日：2023-07-20

申请号：US17945168

申请日：2022-09-15

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Ying SUN ,  Hengshu ZHU ,  Chuan QIN ,  Peng WANG ,  Hui XIONG

IPC: G06Q10/10 ,  G06F16/906

CPC classification number: G06Q10/1053 ,  G06F16/906

Abstract: There is provided a method for cross-regional talent flow intention analysis, an electronic device, and a storage medium, which relates to technical fields such as big data processing and data statistics and analysis. A specific implementation solution involves: constructing a talent flow intention network based on search data in a network within a preset period of time; and performing cross-regional talent flow intention analysis based on the talent flow intention network to obtain a talent flow intention analysis result.

公开(公告)号：US20240330328A1

公开(公告)日：2024-10-03

申请号：US18741744

申请日：2024-06-12

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Siyuan HAO ,  Le ZHANG ,  Le DAI ,  Jingbo ZHOU ,  Shengming ZHANG ,  Chuan QIN ,  Hui XIONG

IPC: G06F16/28

CPC classification number: G06F16/288

Abstract: A method is provided. The method includes: obtaining an object relationship diagram; for a target object of a plurality of first objects, obtaining at least one meta-path corresponding to the target object in the object relationship diagram; for each meta-path, performing the following operations: determining a plurality of first attention weights of the target object based on inherent attribute data of the target object and inherent attribute data of each of a plurality of second objects on the meta-path; obtaining a second representation vector of the target object based on a first representation vector of the target object and the plurality of first attention weights; and obtaining a target indicator prediction result of the target object based at least on at least one second representation vector of the target object corresponding to the at least one meta-path.

公开(公告)号：US20220122022A1

公开(公告)日：2022-04-21

申请号：US17564372

申请日：2021-12-29

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Kaichun YAO ,  Jingshuai ZHANG ,  Hengshu ZHU ,  Chuan QIN ,  Chao MA ,  Peng WANG

IPC: G06Q10/06 ,  G06Q10/10

Abstract: The present disclosure provides a method of processing data, a device and a computer-readable storage medium, which relates to a technical field of artificial intelligence, and in particular to fields of intelligent search and deep learning. The method includes: generating a resume heterogeneous graph and a job heterogeneous graph; determining a first matching feature representation for the resume and the job profile based on first and second node feature representations for a first node in the resume heterogeneous graph and a second node in the job heterogeneous graph respectively; determining a second matching feature representation for the resume and the job profile based on first and second graph feature representations for the resume heterogeneous graph and the job heterogeneous graph respectively; and determining a similarity between the resume and the job profile based on the first and second matching feature representations.

公开(公告)号：US20230139642A1

公开(公告)日：2023-05-04

申请号：US18089792

申请日：2022-12-28

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Kaichun YAO ,  Hengshu ZHU ,  Peng WANG ,  Xin SONG ,  Jingshuai ZHANG ,  Chuan QIN ,  Jing WANG

IPC: G06F40/289 ,  G06F40/35 ,  G06F40/205

Abstract: A method and an apparatus for extracting a skill label, and a method and an apparatus for training a candidate phrase classification model are provided. The method for extracting the skill label includes obtaining a plurality of words by performing word segmentation on a sentence to be extracted, and determining a multi-dimensional feature vector of each word; extracting a candidate phrase from the sentence to be extracted; determining a multi-dimensional feature vector of each word in the candidate phrase according to the multi-dimensional feature vector of each word; generating a semantic representation vector of the candidate phrase according to the multi-dimensional feature vector of each word in the candidate phrase; and extracting the skill label from the sentence to be extracted based on the semantic representation vector of the candidate phrase.

公开(公告)号：US20230122093A1

公开(公告)日：2023-04-20

申请号：US17992041

申请日：2022-11-22

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Dazhong SHEN ,  Chuan QIN ,  Chao WANG ,  Zheng DONG ,  Hengshu ZHU ,  Hui XIONG

IPC: G06F40/30 ,  G06F40/279 ,  G06F40/117 ,  G06N20/00

Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.